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Classification of abnormal fundus autofluorescence patterns in the junctional zone of geographic atrophy in patients with age related macular degeneration

机译:年龄相关性黄斑变性患者地理萎缩交界区眼底自发荧光异常的分类

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摘要

>Aim: To describe and classify patterns of abnormal fundus autofluorescence (FAF) in the junctional zone of geographic atrophy (GA) in patients with age related macular degeneration.>Methods: Digital FAF images were recorded in 164 eyes of 107 patients using a confocal scanning laser ophthalmoscope (cSLO; excitation 488 nm, detection above 500 nm) as part of a prospective multicentre natural history study (FAM Study). FAF images were obtained in accordance with a standardised protocol for digital image acquisition and generation of mean images after automated alignment.>Results: Image quality was sufficient for classification of FAF patterns in 149 eyes (90.9%) with lens opacities being the most common reason for insufficient image quality. Abnormal FAF outside GA in 149 eyes was classified into four patterns: focal (12.1%), banded (12.8%), patchy (2.0%), and diffuse (57.0%), whereby 12.1% had normal background FAF in the junctional zone. In 4% there was no predominant pattern. The diffuse pattern was subdivided into four groups including reticular (4.7%), branching (27.5%), fine granular (18.1%), and fine granular with peripheral punctate spots (6.7%).>Conclusions: Different phenotypic patterns of abnormal FAF in the junctional zone of GA can be identified with cSLO FAF imaging. These distinct patterns may reflect heterogeneity at a cellular and molecular level in contrast with a non-specific ageing process. A refined phenotypic classification may be helpful to identify prognostic determinants for the spread of atrophy and visual loss, for identification of genetic risk factors as well as for the design of future interventional trials.
机译:>目标:描述和分类年龄相关性黄斑变性患者地理萎缩(GA)交界区的异常眼底自发荧光(FAF)模式。>方法:作为前瞻性多中心自然史研究(FAM研究)的一部分,使用共聚焦扫描激光检眼镜(cSLO;激发波长488 nm,检测波长500 nm以上)在107位患者的164眼中记录了图像。 FAF图像是根据用于自动对齐后的数字图像获取和均值图像生成的标准化协议获取的。>结果:图像质量足以对149眼(90.9%)的人工晶状体进行FAF模式分类不透明度是图像质量不足的最常见原因。 149只眼的GA外GAF异常分为四种模式:局灶性(12.1%),带状(12.8%),斑片状(2.0%)和弥散性(57.0%),其中12.1%的正常FAF在交界区。在4%的人群中没有明显的模式。弥散模式分为网状(4.7%),分支(27.5%),细颗粒(18.1%)和带有周围点状斑点的细颗粒(6.7%)四组。>结论:不同可以通过cSLO FAF成像识别出GA连接区中异常FAF的表型。与非特异性衰老过程相比,这些不同的模式可能反映了细胞和分子水平的异质性。精细的表型分类可能有助于确定萎缩扩散和视力丧失的预后决定因素,遗传危险因素的识别以及未来干预性试验的设计。

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